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Added 9 mins ago
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Added 9 mins ago
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CIBC

Consultant, Quantitative Risk Modelling

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 23, 2026
Posting language: English
Posted: Sep 22, 2026

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Original job description

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

The Optimization Model Development team is responsible for the design and development of data-driven credit risk management strategies for all stages of the credit life cycle. Reporting to the Senior Director, the Quantitative Consultant will be tasked with developing advanced statistical models that evaluate credit risk across a variety of retail credit portfolios including credit cards, personal loans and lines of credit, residential mortgages, small business loans, and collections. This requires expertise in statistical software such as SAS Enterprise Guide, SAS Enterprise Miner, R or Python to develop various predictive and inference models and conduct supplemental statistical analyses. The successful candidate will also write technical model documentation to support the model validation process and maintain adequate model governance standards. Additionally, the Quantitative Analyst will need to engage with various partner units to understand business problems and communicate model results.

At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

How you’ll succeed

Technical expertise. Develop and execute statistical/machine learning models for all retail risk systems. Understand and generate critical actionable insights from data.
Innovation and problem solving. Develop optimal strategies to respond proactively and reactively to market situation and new business opportunities.
Effective communication. Engage with business partners to understand business needs and develop suitable modeling and analytics solutions.

Who you are

You have a graduate degree in quantitative fields (Statistics, Math, Analytics, Economics, Engineering, Data Science). You can also demonstrate expertise in SAS or other advanced data modeling tools. Experience in FICO Decision Optimizer is a major asset.
You can demonstrate experience in modeling, including work experience with cleaning, merging, modeling and extracting insights from data. Experience of retail credit risk strategies, particularly acquisitions or account management, is an asset.
You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way
You love to learn. You're passionate about growing your knowledge, and you know that there is no limit to what you can achieve
You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best. You notice things that others don't. Your critical thinking skills help to inform your decision making.
You engage with your heart and mind. You care about people and understand different perspectives. You listen and learn from the experiences of others.
Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

What you need to know

CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact [email protected]
CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 31st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Data Analysis, Model Development, Python (Programming Language), Statistical Models

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More about this job

Responsibilities

The Quantitative Consultant will develop advanced statistical and machine learning models to evaluate credit risk across various retail portfolios. They will also write technical model documentation and engage with business partners to communicate model results and insights.

Requirements

Candidates must hold a graduate degree in a quantitative field such as Statistics, Math, or Data Science. Expertise in statistical software like SAS, R, or Python and experience in data modeling are required.

Skills

Quantitative risk modelling
Statistical modelling
Machine learning
SAS Enterprise Guide
SAS Enterprise Miner
R
Python
Predictive modelling
Inference models
Data analysis
Credit risk management
Model documentation
Model governance
Critical thinking
Problem solving
Communication

Benefits

Competitive salary
Incentive pay
Banking benefits
Benefits program
Defined benefit pension plan
Employee share purchase plan
Vacation offering
Wellbeing support
MomentMakers recognition program
Purpose Day

Visa sponsorship

Not detected in the job text

Keywords

Quantitative Risk Modelling
Credit Risk
Statistical Modelling
Machine Learning
SAS Enterprise Guide
SAS Enterprise Miner
R
Python
Predictive Models
Inference Models
Retail Credit
Model Governance
Data Analysis
FICO Decision Optimizer
Risk Management
Financial Services
Banking
Statistics
Mathematics
Data Science
Engineering
Economics
Analytics
Model Validation
Portfolio Management

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